Best FX trade going right now.
There are two roadblocks to prediction that make things really really messy. The first is variance ("a funny thing happened on the way to the forum") and the second is time. These two variables have a way of spoiling the best of parties. Because of these variables, they prohibit prediction. Because without these variables in the model, you are nothing more then the random drunk leaving the bar stumbling with no particular place to go. We have to accept this. There is no way around it. So what ACD does, or at least in my ACD playland, I incorporated them into my model. If you can't beat them, join them right? So I did something funny on my way to the forum, I said the hell with price, let me predict variance and time and I'll invite price along for desert later. The result was a much greater understanding of the market then staring at price moving up and down the way a cat's eyes follow the ball on the end of a string shocked as it moves around in space.
Once you understand the limitations of your model, you can move forward in peace. All is well with the world. The biggest part in building a model or a methodology is understanding everything that it is and everything that it is not. The model if built correctly should explain the market as it is, not as you want it to be. It should help bring clarity, instill discipline, minimize emotion and provide an objective path forward that ultimately will determine value.
Example: You decide to buy X at 100. You think it will go to 110 and put in a stop at 98. What if X goes to 95 first and then goes to 110. Was your "prediction" right? It went to 110 right? Well no, it went to 95 first, you lose 2 pts...you lose...variance wins.
Round 2: You say the hell with stops then, stops are for suckers (or so you read on ET). So you buy X at 100 with a target of 110. No stop this time. X goes down to 90....rebounds back to 100....then continues on to 110....hits your target. Did you win? No. All you did was bet on variance. You bought X at 100 and it went 10 pts below and 10 pts above....in other words, completely random. You don't win anything. Although I'm sure 100 posts of bragging will follow. LOL.
Round 3: You buy X at 100...no stop. This time it goes no where for 6 months but finally hits 110. You sell. Did you win? Again...no. Let's say over that same time period the index was up 20%, X was up 10% and the index exhibited half the volatility as X. The index in this case represents your opportunity cost which in economics, we count as a real expense.

Variance is a measure of distribution. It's usually synonymous with risk and denoted as "sigma^2" or it's little brother sigma "standard deviation". One way to think about it is, it's working counter to what you are trying to do. You are trying to buy X at 100 and sell it at 110 and you prefer the optimal path to get there which is a smooth slow moving straight line. Sigma is there to make sure it doesn't happen. It's going to make the ride bumpy and violent in hopes of getting you off the bus before it arrives at its destination.
Example: You decide to buy X at 100. You think it will go to 110 and put in a stop at 98. What if X goes to 95 first and then goes to 110. Was your "prediction" right? It went to 110 right? Well no, it went to 95 first, you lose 2 pts...you lose...variance wins.
Round 2: You say the hell with stops then, stops are for suckers (or so you read on ET). So you buy X at 100 with a target of 110. No stop this time. X goes down to 90....rebounds back to 100....then continues on to 110....hits your target. Did you win? No. All you did was bet on variance. You bought X at 100 and it went 10 pts below and 10 pts above....in other words, completely random. You don't win anything. Although I'm sure 100 posts of bragging will follow. LOL.
Round 3: You buy X at 100...no stop. This time it goes no where for 6 months but finally hits 110. You sell. Did you win? Again...no. Let's say over that same time period the index was up 20%, X was up 10% and the index exhibited half the volatility as X. The index in this case represents your opportunity cost which in economics, we count as a real expense.
So you can see there is a lot of ways to randomly capture this trade and scream out winner winner chicken dinner! The key to this trade is to be able to capture that 10 pt move...with controlled risk that does not get triggered in a meaningful time frame and at the same time exceeding your opportunity cost. And there in lies the rub. If you irresponsibly ignore variance and time, you might give someone the impression you are a better trader then you really are. But include those variables and suddenly gravity takes hold. Nobody said pimpin was easy.![]()


Hence we arrive in the world with a set of hypotheses which we update only if the incoming evidence conflicts with them. We also have a build-in 'confirmation bias' that encourages us to be alert to the evidence that supports our prejudice than to that which contradicts it. So, for example, if we come across unpalatable truths about someone we want to admire, we override the impact of it by sheer emotional force. Psychologists at Emory University demonstrated this in a sample of committed Democrats and Republicans during three months prior to he U.S. Presidential election of 2004. The Democrats and Republicans were each given information about their chosen candidate which - had they been operating in a pure reasonable way - would have given them second thoughts about their preference. While they took in the information the researchers scanned their brains with fMRI to see what was happening in them. What they found was that the frontal lobe areas which are known to be involved in reasoning were strangely quiet. Instead increased activation was seen in a network of emotion circuits, including those activated sadness, disgust, and - most tellingly, perhaps - conflict. The subjects' brains looked for all the world as though they were fighting the incoming information, struggling to block it out or minimize its impact. The subjects were then invited to comment on what they had learned and more or less all of them reported that their essential preference was unchanged, and that the information they had received was less important than it seemed or - by various acts of mental athletics - actually supportive of their views. Having arrived at their convoluted conclusions, the activity in subjects' brains altered. Now the areas that lit up were those in the reward circuit. Not only, it seems, do we find ways to support our prejudices but, having done so, we reward ourselves for it!
There is an important difference between these higher illusion-creating mechanisms and those that make us see sticky-out noses on concave faces. It is that they are much more malleable. Try as you might, you will not get rid of the illusory grey square in Hermann's grid. But you can work at the illusion of guilty man, or illusion of the 'nice, even, winning type' string of lottery numbers. You can chip away at your political prejudices; force yourself to asses rationally evidence you would normally fight to dismiss.
Thinking alters thinking. We can actually change the structure and activity in our brains, just by deciding to. It is the greatest accomplishment of our species.
I would like to ask what factors people put int here models.
I have 60 day bars in mine, along with weekly and daily. So easy to see a mean reverting
asset. Failed and broken extreme levels seem to be more significant and meaningful with 60
day bars.
Volatility and noise modeling , well, they require some work. Seems that pure ACD would require defining noise as a custom fraction of the Aup and Adown levels. What I really dont know Mav is if you mean that volatility that occurs within a defined noise area is ignored and to wait until price commits to a direction beyond the noise. Patience. Am i off base here?
Thanks.
I think variance helps measure volatility but I'm not 100% certain on that (better to wait for Mav).
Mav this post went over my head. I think I understand what you are alluding to with time, time stops,time confirmations. But I'm not getting the variance part.
Are we using ACD in the above examples? If we are using ACD as a guide wouldn't the fact that price went underneath our stop be the sign that we are wrong. In other words we shouldn't be placing stops at arbitrary levels, they should be at a level where if it hits we know we're wrong and need to get out.